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igac

Implementation of Interactive GPU Active Contours (IGAC) published at JRTIP

image-saliency-detection-using-extreme-learning-machine

image-segmentation

Level set method for image segmentation . In the attached code, an implementation of semantic segmentation of lungs from CXR (Chest XRays) images can be found on Matlab.

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

image-segmentation-using-active-contours-and-k-means

image_processing_for_plant_disease

Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

image_segmentation-1

Image segmentation of Carvana dataset using transfer learning.

image_segmentation_chromosomes

imageseg-kmeans

💠 Image Segmentation using K-Means

imcut

3D graph cut segmentation

implementing-active-contour-model-snakes-algorithm-

Active contour model, also called snakes, is a framework in computer vision for delineating an object outline from a possibly noisy 2D image. The snakes model is popular in computer vision, and snakes are greatly used in applications like object tracking, shape recognition, segmentation, edge detection and stereo matching.

inf-net

code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" submit to TMI2020.

interactive-cosegmentation-using-global-and-local-energy-optimization

Interactive Cosegmentation Using Global and Local Energy Optimization (IEEE TIP15)

intra

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

iom_oct_analysis

Segmentation for resin part using active contour. Detection for glass bead and denoising using Fourier transform.

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

iresunet3plus

iros2018-slam-papers

IROS2018 SLAM papers (ref from PaoPaoRobot)

isbi2018-diagnostic-classification-of-lung-nodules-using-3d-neural-networks

Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS

ischleseg

M.Sc. Dissertation: Ischemic Stroke Lesion Segmentation using Convolutional Neural Networks

iseg2017-nic_vicorob

Implementation of the nic_vicorob team for addressing the MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg2017

isles2018

Code and models for the paper ISLES Challenge: U-shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation

ivd-net

Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.

jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jnmf

Matlab implementation of Joint Non-negative Matrix Factorization

joint-segment-level-and-pixel-wise-losses-for-deep-learning-based-retinal-vessel-segmentation

A new segment-level loss for accurate retinal vessel segmentation

k-means-and-active-contour-approach-to-detecting-and-segmenting-masses-in-breast-mr-images-

kaggle-dogs_vs_cats_pytorch

kaggle competition: Dogs_vs_Cats_PyTorch Presentation（Getting started with PyTorch）